Registered Operations Leader

Commercial Finance Manager

AVP, Digital Analytics

Assistant Manager, SC Projects

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Actuarial Consultant

Registered Client Service Associate

Business Strategy Analyst

Manager, Data Engineering

Responsibilities:&nbsp; <ul><li>Manage activities that support business results, revenue growth, client experience and efficiencies in practice.</li><li>Manage resources to achieve business results, including revenue and client acquisition targets.</li><li>Partner with Branch Manager to ensure advisor business plans are completed and marketing events are tracked and measured.</li><li>Assist advisors in servicing clients including preparing financial plans, conducting investment research and completing trades and transactions.</li><li>Prepare and summarize client meetings by scheduling and confirming meetings, crafting an agenda and summary of meeting, escorting clients to advisors office and providing follow-up. Prepare and ensure new business paperwork processes are successfully filled out.</li><li>Provide general administrative duties such as answering phones, processing reports, preparing correspondence, setup files, etc.</li><li>Build, manage, track and analyze reports and branch vitals.</li><li>Review advisor expense reports, branch P &amp; L, budgeting, reporting/correcting errors, identify and implement expense reduction opportunities.</li><li>Partner with Registered Principal to ensure compliance support is established and training needs are met.</li><li>Lead real estate and facilities initiatives.</li><li>Lead, coach, mentor and provide performance management for direct reports.</li><li>Partner with Senior Operations Leader and Regional Director of Operations to determine staffing needs; request, hire and allocate staff.</li><li>Conduct 1:1s with staff.</li></ul>﻿Requirements: <ul><li>Bachelors degree or equivalent.</li><li>5 - 7 years relevant experience required.</li><li>Previous successful supervisory experience including knowledge of HR policies and labor laws.</li><li>Excellent written and verbal communication skills; demonstrated ability to motivate team members to delivery results.</li><li>Ability to manage multiple priorities in a fast-paced environment with little or no supervision and strong organizational/time management skills.</li><li>Able to communicate with all levels within the organization.</li><li>Detail orientated, strong math, and analytical skills. Good organization and time management skills.</li><li>Process oriented and can work with a team. Proficient with standard business software applications.</li></ul>

Responsibilities: <ul><li>Own Managerial P&amp;L planning and forecasting, delivering accurate and documented forecasts and budgets</li><li>Lead and own the India FP&amp;A calendar (cross functional view – connected with S&amp;OP and Regional timeline)</li><li>Accountable for managerial P&amp;L reporting in Campari group consolidation system.</li><li>Provide visibility on P&amp;L by SKU / brand / state / channel / customer down to GP and/or CAAP and by account.</li><li>Manage SG&amp;A in collaboration with functional leaders.</li><li>Provide clarity on business performance drivers and variations vs previous forecasts, Budget and prior years</li><li>Pilar of the S&amp;OP process, leading the Volume to value conversion and ensure consistency with commercial planning.</li><li>Provide management relevant and accurate analytics providing visibility on the R&amp;O and as such, enabling effective business decisions.</li><li>Secure integrity of the Depletions/sell out reporting by brand, by state, by channel.</li><li>Understand COGS variances in collaboration with regional supply chain finance team</li><li>Work in close collaboration with controlling team to secure DD and A&amp;P accruals accuracy, documentation and relevance at all time.</li><li>Support Revenue Optimization agenda, partnering commercial team to optimize revenue performance by customers/distributors/channel and maximize profitability.</li><li>Drive internal control &amp; operating efficiency of the promotional program and trade spend.</li><li>Support Key Account managers for trade terms negotiation, providing relevant analytics.</li><li>Develop standardized Value Chain supporting commercial team needs</li><li>Develop sound and reasonable business case for innovation/new product launch/footprint expansion</li><li>Drive ROI analysis for all key initiatives – maximization of investment, share learnings.</li><li>Continually work with functional teams to drive profitable growth and strive for continuous ongoing improvement.</li><li>Drive initiatives through increased focus on the effectiveness and profitability of sales spend and through the proactive identification of profit/growth opportunities.</li><li>Represent finance and challenge financial efficacy in key cross functional forums like Exec reviews, valuation meetings.</li><li>Develop tools to support cross functional team work and decision making and help improvement of internal processes.</li><li>Support projects led by group aiming at improving analytics and efficiencies across finance</li></ul> Requirements: <ul><li>8-10 years experience in commercial finance and FP&amp;A role. Ideally close working experience with sales and marketing/ supply chain in a commercial capacity, preferably in the liquor industry or FMCG.</li><li>Qualification – Chartered Accountant</li><li>Experience in Liquor industry preferred, FMCG essential</li><li>Advanced excel and strong power-point skills</li><li>SAP, Power BI, BPC&nbsp;</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Role Description:&nbsp; <ul><li>We are hiring a Supply Chain Project Engineer to lead and manage engineering and CAPEX projects within a manufacturing environment.&nbsp;</li><li>This role involves working closely with global engineering teams and plant operations to deliver projects on time, within budget, and aligned with business goals.</li></ul> Responsibilities: <ul><li>Lead end-to-end project execution (design, installation &amp; commissioning).</li><li>Support technical proposals, cost estimation, and project planning.</li><li>Coordinate with suppliers, contractors, and cross-functional teams.</li><li>Supervise installation and construction activities on-site.</li><li>Ensure projects meet EHS, quality, and food safety standards.</li><li>Manage budget, timelines, and resource planning.</li><li>Work closely with global engineering, production, maintenance, and operations teams.</li><li>Support CAPEX planning and execution for plant initiatives.</li></ul> Requirements: <ul><li>Bachelor’s degree in engineering as Mechanical, Electrical or equivalent. MBA or Management degree is preferred.</li><li>Working with manufacturing environment is preferred. Minimum 4 years of engineering experience with minimum 3 years for project management.</li><li>Knowledge of mechanical, electrical and construction/structure are required. Also, good computer background is a must.</li><li>English communication skill is necessary in both speaking and writing.</li><li>Able to work with government officers and public organizations.</li><li>Knowledge of food industry and financial issues including CAPEX&nbsp;</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

Responsibilities: <ul><li>Readiness to the role as per the Retirement career path / skill blocks</li><li>Demonstrate a positive attitude in dealing with changes, reacting to them in a calm, professional manner and actively seeking solutions to any problems which might arise as a result of the changes.</li><li>Adopt a business-friendly writing style when communicating with UK colleagues and drafting advice for clients.</li><li>The content will be focused and concise, with significant actions, information, deadlines and recommendations clearly identified. Avoid using unnecessary colloquialisms, formalities and jargon.</li><li>Prepares original materials (letters, reports, discussion guides) for the lead actuary including first draft of commentary on results</li><li>Fully understands UK pensions legislation, work as an expert scrutiniser on all major work types – Actuarial Valuation / Accounting / Consulting support services / GMP equalisation</li><li>Ability to stand back from detailed calculations, sense-check, draw conclusions and see the work in a broader context of the clients needs and the legislative framework.</li><li>Answers client questions without reliance on the lead actuary and is a strong backup to lead actuary</li><li>Ensures own work and work of junior colleagues is complete and thorough, requiring minimal review from lead actuary</li><li>Identifies and implements improvements to the various processes</li><li>Champions of new ideas and initiatives that deliver strategic results</li><li>Plan and execute technical meetings and training as per the teams requirement for the Individual contributor roles</li><li>Create an open, collaborative, and engaging team environment&nbsp;</li></ul> Requirements: <ul><li>Strong analytical and mathematical skills, with a keen eye for detail</li><li>Ability to effectively communicate the team goals and drive business results</li><li>Understands the professional requirements and quality standards for UK work</li><li>Strong organizational skills to manage multiple projects and deadlines efficiently</li><li>Ability to work in a team and collaborate effectively with colleagues from diverse backgrounds</li><li>An expert in one or more of the specialist areas – valuation, accounting, client extension work, risk &amp; modelling, GMP equalisation, cash equivalent transfer value – but will have a general understanding of all the work and the ability to adapt to new work.&nbsp;</li></ul>

Responsibilities: <ul><li>Assist advisor(s) in servicing clients including preparing financial plans, conducting investment research and completing trades and transactions as described by the advisor.</li><li>Prepare and summarize client meetings by scheduling and confirming meetings, entering data into contact manager, building the agenda and summary of meetings, escorting clients to advisor meeting and providing vital follow-up.</li><li>Ensure new business paperwork is submitted efficiently which includes preparation of forms and documentation for submission to home office, acquisition of appropriate signatures, tracking of new insurance applications and coordination of rollovers.</li><li>Coordinate marketing events which include organizing the event, contacting vendors, finalizing event details, crafting marketing compliance documentation and managing event marketing reimbursement.</li><li>Provide general administrative duties such as answering the advisors’ phone, processing expense management reports, preparing routine client correspondence, supporting closes, setting up client documents and new business correspondence and alerts. </li></ul> Requirements: <ul><li>Bachelors degree or equivalent.</li><li>3 - 5 years relevant experience required.</li><li>Series 7 or ability to obtain within 150 days.</li><li>State securities agent registration (S63 or S66) or ability to obtain within 150 days.</li><li>Experience working in a client service environment.</li><li>Detail-oriented, strong math, and analytical skills. Good organization and time management skills.</li><li>Able to manage multiple priorities and prioritize effectively. Able to independently work with minimal direct supervision.</li><li>Able to communicate with all levels within the organization. Process oriented and can work with a team.</li><li>Strong computer and software skills. Preferred Qualifications:</li><li>State IAR registration (S65 or S66) or ability to obtain within 150 days.</li><li>Life, Accident, and Health licenses &amp; Variable Contracts or ability to obtain within 150 days.</li></ul>

Role Description: <ul><li class="ql-align-justify">The Business Strategy Analyst supports the execution of the Group’s strategic priorities, operational excellence agenda, and performance management frameworks.</li><li class="ql-align-justify">Reporting to the Strategy &amp; Operations Manager, the role provides analytical, process, and reporting support to help translate strategy into effective execution across the Group’s enabling functions and business units.</li></ul> Responsibilities: <ul><li>Strategy Execution SupportAssist in tracking progress against strategic initiatives, KPIs, and overall business objectives.</li><li>PMO &amp; Project TrackingBuild and maintain project plans, track milestones, risks, and dependencies, and ensure timely execution.</li><li>Dashboarding &amp; ReportingPrepare dashboards, MIS reports, and performance summaries for leadership and stakeholders.</li><li>Cross-Functional CoordinationWork with multiple business functions to drive alignment, follow-ups, and accountability on key initiatives.</li><li>Operational Excellence &amp; Process SupportSupport process improvement initiatives, SOP creation, and transformation projects (e.g., outsourcing, efficiency programs).</li></ul>﻿Requirements: Knowledge, Skills, Qualifications and Experience required for this Role <ul><li class="ql-align-justify">Strategy Execution &amp; Performance Support</li><li class="ql-align-justify">Operational Excellence &amp; Business Process Improvement</li><li class="ql-align-justify">Project &amp; Initiative Coordination</li><li class="ql-align-justify">Reporting, Insights &amp; Information Management</li><li class="ql-align-justify">Stakeholder, Governance &amp; Strategy Administration Support</li></ul> Experience &amp; Knowledge: <ul><li>2–4 years’ experience in business analysis, strategy, operations, consulting, finance, or process / project support roles.</li><li>Exposure to operational excellence, process improvement, PMO, or transformation environments preferred.</li><li>Working knowledge of financial statements and basic financial analysis.</li><li>Experience supporting system or process change initiatives (requirements, SOPs, UAT, or adoption tracking) is an advantage</li></ul>&nbsp;Education: <ul><li>Bachelor’s degree in Business Administration, Economics, Finance, Engineering, Information Systems, or another relevant analytical or business discipline.</li><li>A strong analytical or quantitative academic background is preferred.</li><li>Postgraduate qualifications (e.g. MBA, MSc) or professional certifications in strategy, business analysis, project management, or operational excellence (e.g. Lean, Six Sigma, PMP) are not required, but will be considered an advantage at junior level.</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

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85 financial modeling Jobs found

Registered Operations Leader

Commercial Finance Manager

AVP, Digital Analytics

Assistant Manager, SC Projects

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Actuarial Consultant

Registered Client Service Associate

Business Strategy Analyst

Manager, Data Engineering

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Skills

Industry

Location

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85 financial modeling Jobs found

Registered Operations Leader

Commercial Finance Manager

AVP, Digital Analytics

Assistant Manager, SC Projects

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Actuarial Consultant

Registered Client Service Associate

Business Strategy Analyst

Manager, Data Engineering

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.